Author

Bart De Moor

KU Leuven

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Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alejandro Sifrim· 1 shared Dusan Popovic· 1 shared Jaldert FrançoisiD· 1 shared Jan Aerts· 1 shared Joris R. Vermeesch· 1 shared Sophie ColetteiD· 1 shared Vera van NoortiD· 1 shared Yves Moreau· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperBioinformatics

Alejandro Sifrim

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2 papers

Recent·Most cited

Machine learning for optimal growth temperature prediction of prokaryotes using amino acid descriptors

Sophie Colette, Jaldert François, Bart De Moor, Vera van Noort

This study improves OGT prediction for prokaryotes using machine learning with amino acid descriptors, achieving an R2 of 0.89.

Journal of Chemical Information and Modeling · Apr 13, 2026Peer-reviewedMicrobiology

Comparison of aggregation methods for multiphenotype exomic variant prioritization

Alejandro Sifrim, Dusan Popovic, Joris R. Vermeesch, Jan Aerts, Bart De Moor, Yves Moreau

This study compares aggregation methods for prioritizing exomic variants in multiphenotype Mendelian disorders, showing that method selection depends on the fraction of uninformative phenotypes.

bioRxiv · Jul 20, 2016 · PreprintBioinformatics